With the tight regulatory environment, competition from traditional and non-traditional industries, customer demands, and cost pressures that companies are facing today, financial services and fintech companies require big data technologies that make processes and transactions much faster and more efficient. Large companies accumulating massive amounts of data need to be able to perform analytics on that data in real time in a cost-conscious manner to ensure a good user experience. Many are finding in-memory computing platforms to be a key strategy for meeting these challenges.

This eBook, Part 3 in the In-Memory Computing for Financial Services eBook Series, discusses how financial service firms are using in-memory computing platforms such as GridGain^® and Apache Ignite^® in their strategy to improve the performance of:

• Asset and wealth management
• Spread betting
• Banking applications

This eBook is Part 3 in GridGain System's In-Memory Computing for Financial Services eBook series:

• Read Part 1
• Read Part 2